Institutional knowledge is locked in file shares
The answer exists in a drawing from 2014. Nobody can find it, so it gets re-engineered.
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Engineering & EPC
Design-data search, drawing and specification intelligence, and simulation compute for engineering, EPC and construction-technology firms.
If none of these sound like you, we are probably not the right call yet — and we will say so.
The answer exists in a drawing from 2014. Nobody can find it, so it gets re-engineered.
Hundreds of pages of specification, scanned for the clauses that change the price.
Engineers wait for compute while a licence sits idle on someone else's desk.
Engineering firms rarely need a novel model. They need the last two decades of drawings, specifications and as-builts to answer a question in seconds instead of a week.
Search across drawings and documents.
Titles, revisions, embedded text and metadata, unified into one searchable index.
Specification extraction.
Clauses, tolerances and deviations pulled out of tender documents with the page reference attached.
Simulation compute on demand.
Burst GPU and CPU capacity so solver queues stop setting the project schedule.
IP stays yours.
Everything runs in infrastructure you control. Your design archive does not train anyone else's model.
Different teams, different first project. The platform underneath is the same.
Revision-aware search across CAD archives, drawing registers and as-builts.
Specification extraction and deviation flagging across large tender packs.
Managed HPC and GPU capacity with queueing that matches how your team works.
AI features for platforms serving builders, developers and site teams.
Four things, in this order. Each one is useful on its own.
What you have, what state it is in, and what becomes searchable first.
Unified search across drawings, specifications, correspondence and as-builts.
Clause extraction, comparison against your standard position and a deviation report.
Dedicated or burst capacity, managed, with cost visible per project.
No surprises about sequence, and no invoice before there is something to look at.
We look at what is actually in the file shares before promising anything about searching it.
One discipline or one project type first, so the value is visible in weeks.
Extend across disciplines, with access controls matching your project structure.
Managed indexing, compute and support, so engineers never think about the platform.
The questions we work through before recommending anything — data readiness, hosting constraints, review process and the running cost at year two. Use it with any vendor.
Short answers. Longer ones are a conversation.
It is normal, and it is the first thing we assess. A lot of the value comes from the index reconciling inconsistent naming and revision practice, rather than requiring you to clean up first.
Yes, through OCR and layout analysis. Accuracy depends on scan quality, which is why we benchmark against a sample of your worst documents, not your best.
No. Everything runs in infrastructure you control, and your content is not used to train any shared model. This is stated in the contract, not just the architecture.
We extract metadata, text and where needed geometry from common formats. Which formats matter for you is settled during the archive audit.
We provide the compute; your existing solver licences apply. Where licence pooling is the bottleneck rather than hardware, we will tell you that instead of selling you GPUs.
If the honest answer is measured in days, that is the project.